Assessing bias in susceptible–infected–recovered estimation from aggregated epidemic data
The canonical susceptible–infected–recovered (SIR) epidemic model is ubiquitous in assessing severity to guide interventions. It is typically applied to hierarchically aggregated data from distinct sub-regions. The introduced heterogeneity can lead to significant errors in estimated epidemic severit...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
The Royal Society
2025-07-01
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| Серія: | Royal Society Open Science |
| Предмети: | |
| Онлайн доступ: | https://royalsocietypublishing.org/doi/10.1098/rsos.240526 |
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